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. 2020 Nov 30;17(23):8903.
doi: 10.3390/ijerph17238903.

Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

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Screening Model for Estimating Undiagnosed Diabetes among People with a Family History of Diabetes Mellitus: A KNHANES-Based Study

Kwang Sun Ryu et al. Int J Environ Res Public Health. .

Abstract

A screening model for estimating undiagnosed diabetes mellitus (UDM) is important for early medical care. There is minimal research and a serious lack of screening models for people with a family history of diabetes (FHD), especially one which incorporates gender characteristics. Therefore, the primary objective of our study was to develop a screening model for estimating UDM among people with FHD and enable its validation. We used data from the Korean National Health and Nutrition Examination Survey (KNHANES). KNAHNES (2010-2016) was used as a developmental cohort (n = 5939) and was then evaluated in a validation cohort (n = 1047) KNHANES (2017). We developed the screening model for UDM in male (SMM), female (SMF), and male and female combined (SMP) with FHD using backward stepwise logistic regression analysis. The SMM and SMF showed an appropriate performance (area under curve (AUC) = 76.2% and 77.9%) compared with SMP (AUC = 72.9%) in the validation cohort. Consequently, simple screening models were developed and validated, for the estimation of UDM among patients in the FHD group, which is expected to reduce the burden on the national health care system.

Keywords: family history of diabetes; screening model; undiagnosed diabetes mellitus.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure A1
Figure A1
Screening model for estimation of UDM in male and female populations with FHD.
Figure 1
Figure 1
Research framework for the development of a family history of diabetes (FHD) screening model.
Figure 2
Figure 2
Flow chart for selecting the study population.

References

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